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Textual content offers a clean standpoint on e-government conception and the problems concerning imposing e-government projects. For teachers and practitioners who're trying to find options to e-government projects being carried out by way of their firms. Hardcover, softcover on hand. DLC: net in public administration--United States.
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They can also support the validation scheme. Advances in multi-agent systems as an alternative way to build distributed systems have made agents a facilitator of human-computer interaction. Agents have been proven as helpful tools for the coordination of people who are performing a given task (Maes, 1994). Agent interaction protocols govern the exchange of a series of messages among agents, in accordance with the interaction style among actors. The interaction styles of individual agents can be competitive, cooperative or negotiating.
Web page designers have become familiar with ways to ensure that existing search engines find their material first, or at least in the top 10 to 20 hits. This information may or may not be what the users really want. Thus, the search engines, even though they have now become sophisticated, cannot and do not provide sufficient assistance to the users in locating and filtering out the relevant information that they need (see Jensen, 2002; Lawrence & Giles, 1999). The second area, efficient use of resources, especially labor, continues to be researched by both practitioners and researchers (Jentzsch & Gobbin, 2002).
This chapter outlines a new approach for collaborative knowledge production based upon a multi-agent architecture. This approach organizes knowledge production in a distributed interaction environment to complete the distributed KM scenario. As a case study, our approach is applied to the collaborative development of learning objects by a distributed group of instructional designers. In the rest of this section, we introduce the subject of collaborative knowledge production and our working thesis.